The impacts of COVID-19 pandemic on bus transit demand: A 30-month Naturalistic Observation in Jiading, Shanghai, China

IF 4.3 Q2 TRANSPORTATION
Weihan Bi, Yu Shen, Yuxiong Ji, Yuchuan Du
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引用次数: 0

Abstract

The COVID-19 pandemic and subsequent government responses have had unprecedented effects on public transit (PT) demand. This paper presents a naturalistic observation of the Jiading bus transit system in Shanghai, China, spanning from April 2021 to October 2023 and covering different stages under various extreme policy response combinations. We use the Prais-Winsten regression to quantitatively assess the pandemic’s impact on bus demand and explore demand recovery patterns at both aggregated and individual levels in the post-pandemic era. Our findings reveal a strong negative correlation between bus demand and the stringency of containment policies, consistent across both levels of analysis. In the post-pandemic period, ridership has only rebounded to 77% of the pre-Omicron near-normal level, with notable spatial and temporal disparities across different regions. While the temporal distribution of ridership has largely normalized, the recovery of travel demand between zones outpaces that of travel within zones. Moreover, a persistent decline in individual travel frequency has been observed, which has not reverted in the post-pandemic period. The insights from this study can help policymakers better respond to potential future crises and improve PT services in the post-pandemic era.
COVID-19 大流行对公交需求的影响:中国上海嘉定 30 个月的自然观察
COVID-19大流行和随后的政府应对措施对公共交通(PT)需求产生了前所未有的影响。本文对中国上海嘉定公交系统进行了自然观察,时间跨度为2021年4月至2023年10月,涵盖了不同极端政策响应组合下的不同阶段。我们使用Prais-Winsten回归定量评估大流行对公共汽车需求的影响,并探索大流行后时代总体和个人层面的需求恢复模式。我们的研究结果显示,公共汽车需求与遏制政策的严格程度之间存在强烈的负相关关系,这在两个分析层次上都是一致的。在大流行后的时期,客流量仅反弹至欧米克隆前接近正常水平的77%,不同地区之间存在明显的时空差异。虽然客运量的时间分布已基本正常化,但区域间旅行需求的恢复速度超过了区域内旅行需求的恢复速度。此外,观察到个人旅行频率持续下降,在大流行后时期没有恢复。这项研究的见解可以帮助决策者更好地应对未来潜在的危机,并改善大流行后时代的PT服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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